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Emerging Technologies: Knowledge Graphs and Machine Learning

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Dear Minneapolis BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Minneapolis Chapter meeting on December 13th. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.


December 13th, 2016, 8:00 a.m. – 12:00 noon



Microsoft Technology Center
Suite 600
3601 W 76th Street
Minneapolis, MN 55435
 (952) 806-1110


Emerging Technologies: Knowledge Graphs and Machine Learning

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8:00 – 8:30 a.m.

Networking and Registration

8:30 – 8:45 a.m.

Introductions and Chapter Business

8:45 – 10:00 a.m.

Presentation: Using a graph as a data warehouse – Dan Bennett – Thomson Reuters


Thomson Reuters provides data-driven products to a global market of attorneys, accountants, bankers, and financiers. As you might imagine, data warehousing and BI technologies underpin many of our products, often used in ways their creators never imagined.

Recently, we’ve started to model our data as linked data, to form a ‘knowledge graph’ across our data sets, underpinning new types of product experiences and capabilities.

In this presentation, Dan will discuss our approach to graph-based technologies, the nimbleness, challenges, and lessons learned so far.

10:00 – 10:15 a.m.

Break and Networking

10:15 – 11:30 a.m.

Presentation:  A New Algorithm for Machine Learning Applications and Developers - Grant Goris - COO of BoonLogic


BoonLogic is a Minneapolis-based machine learning start-up with a platform technology known as "PME" (pattern memory engine). Founded on principles from neural science and constructed similarly to our brain's physical architecture, PME expands the realm of possibility for real-time machine learning applications. By leveraging several clues from human pattern processing, BoonLogic is partnering to develop emerging technologies and capabilities in a world with ever-increasing data. How are we different? Where can it be applied? These questions and yours will be addressed. Discover the next algorithm for real-time pattern detection.

11:30 – 11:45 a.m.

Q&A and Wrap-up

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Space is limited so sign up early!

For more information about TDWI Membership, contact [email protected]
To contact a Chapter officer, click on name of the officer located at the bottom of this page.

Bios of Presenters

Grant Goris - COO of BoonLogic

Grant graduated from Bethel University and began his career in the analytics field shortly after. His focus was optimizing inventory production and planning for several manufacturers including the Clorox Company and for some of the worlds largest brick-and-mortar retailers, including Target, Best Buy, and Toys R Us. Over the past two and a half years, he has focused his attention on furthering emerging and disruptive technology in the field of machine learning, attempting to ease and improve the process of identifying patterns for analysts in multiple vertical markets.

Dan Bennett – Thomson Reuters

Dan is responsible for building big, open, and linked data capabilities for re-use across the company including core components of our Enterprise Content Platform—an initiative to use big data technologies for ingest, mastering, and distribution of Thomson Reuters content.

Prior to this, Dan built mobile product platforms for Thomson Reuters including ProView: the Thomson Reuters e-book platform and Convene: TR's events and conferences app.

Dan has worked in a number of technology/product leadership roles since joining the Thomson Consulting business in 1997. Through 2010, he led online development for WestlawNext, introducing large scale agile and directing online development from initial architecture through to launch.

A native of the UK, Dan is based out of the Thomson Reuters Eagan, MN campus and holds a BSc (Hons) in Computer Science and Artificial Intelligence from the University of Leeds, UK. 

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